Measuring method for inversing reservoir feeding flow procedures

Abstract

The invention discloses a measuring method for inversing reservoir feeding flow procedure, comprising the steps: step I, performing observation and sampling to obtain the information of reservoir water level and discharging flow via a water level in front of the reservoir dam; step II, building a data assimilative state model and an observation model according to the information obtained in the step I; and step III, ascertaining the reservoir feeding flow procedures by a data assimilation algorithm according to the state model and the observation model obtained in the step II. The method disclosed by the invention can be used for ascertaining the reservoir feeding flow; compared with the prior art, the method disclosed by the invention can ensure smooth reservoir feeding flow, and avoid exceptional data like negative values and the like of the flow; the method also can supply the reservoir feeding flow procedure of minute time step, so as to reflect the flood peak information more truthfully; in addition, the method disclosed by the invention has low precision requirement to the water level gauge on the reservoir dam, so that the building and management costs of water level measurement stations are saved.

Description

technical field [0001] The invention relates to the technical field of hydrological measurement, in particular to a method for measuring and calculating the process of inverting the inflow flow of a reservoir. Background technique [0002] The actual inflow flow of the reservoir is the basic data for carrying out the work of reservoir hydrological forecasting and reservoir scheduling. For example, when formulating a reservoir hydrological forecast plan, the actual inflow flow of the reservoir is used as known data, which is the "criterion" for calibrating the parameters of the hydrological model and the "ruler" for evaluating the efficiency and accuracy level of the forecast plan, but the actual inflow flow of the reservoir The errors in estimation have brought great difficulty to hydrological forecasting; in reservoir dispatching, reservoir inflow flow is the most basic input condition, reservoir flood regulation calculus, preparation of reservoir dispatching map and reserv...

AI Technical Summary

Problems solved by technology

The result of this is that the inbound flow process is prone to jagged fluctuations, and even unreasonable phenomena such as negative values;

[0006] 2) The dynamic storage capacity of the reservoir makes the water level in front of the dam less representative: for example, the Three Gorges Reservoir is a typical river channel reservoir, with a total length of 700km from Zhutuo to the Sandouping dam site in Yichang, and the water level difference between the upstream and downstream reaches 30m, so The water level of any water level station in the reservoir area cannot accurately reflect the water level change process of the Three Gorges Reservoir [3]

The smoothing method has the following problems [3-4] : It is impossible to establish a quantitative relationship between the water level measurement error and the fluctuation of the inflow flow, and there is a large subjectivity

However, the dynamic storage method requires more water level observation stations, and cannot measure the inflow flow in a short period of time (such as a few minutes)

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